This talk will show how to boost developer productivity with AI tools in Cursor — from automated code reading and writing to building custom AI teammates and end-to-end feature pipelines.

I’ll show practical approaches, common pitfalls, and ready-to-use templates with concise PHP snippets that let you run dozens of parallel features in one cluster, cut costs, and speed up CI.

I’ll share my experience in writing automated tests that help avoid surprises in production and explain how we integrate them with the testing system. At the same time, we’ll discuss whether documentation is really necessary if the tests already “speak” for the system.

Let’s talk about long-running processes in PHP: is there life with API demons in production, what best practices exist and why they’re not always the best, and what exactly to focus on when developing and running them.

Half a year of trial and error with AI across different tasks and technologies: we’ll go through current tools, approaches, and recommendations. What works and what doesn’t. From the wow-effect in demos to wasted days on 'vibecoding'.

A discussion with representatives of high-risk systems about why security architecture should be incorporated at the design and development stage, rather than added after release into production. We will talk about the risks of delayed implementation of controls, common security illusions, and practical approaches to integrating security practices into the work of product teams.

How can you thrive in an industry transformed by AI? This talk covers research and hands-on demos to help secure your career and leverage AI for productivity and growth.

We will take a look inside React Server Components using an implementation in the Clojure programming language. You will learn what the “magic” of server components looks like under the hood, how component streaming works, and whether it’s really possible to send a Promise over an HTTP request from the server to the client. How can a function that exists only on the backend be invoked on the frontend? How can we make server components run fast? In addition, we will dive into Clojure to see how the same concepts can be built in a radically different programming language.

Have you ever wondered what’s really going on under the hood of distributed systems? Not those “sort of a cluster” setups with 3 nodes, I mean the real deal. The exabyte-scale beasts. In this talk, we’ll peek behind the curtains of modern infrastructure. How do systems that crunch mountains of data actually work? What patterns, principles, and engineering decisions are hiding behind truly scalable architectures? Here’s what we’ll dive into: - What the inner life of a distributed system really looks like - How a distributed app is different from a distributed system - How data storage patterns evolve into modern DBs, queues, and logs - Why “PostgreSQL in the cloud” isn’t really PostgreSQL anymore - Why Northguard might just outshine Kafka - And how new players like NewSQL are changing the game If you’re an architect, tech lead, developer or just curious about why infrastructure scales the way it does - come join! I’ll share insights you might use in your own projects (or at least see them from a new angle). P.S. Yep, there’ll be a bit of magic ✨ and a whole lot of hard truths about the distributed systems powering our world. ?